Data mining education  What’s cookin’ ? Maja Skrjanc
Introduction <ul><li>Sol-Eu-Net  </li></ul><ul><li>WP 4 – Dissemination/Education </li></ul><ul><li>Analysis of machine le...
Resources <ul><li>Solomon European Network  -  Data Mining and Decision Support Courses   ( http://www. cs . bris .ac. uk ...
Classification <ul><li>Intended audience: </li></ul><ul><ul><li>computer science students,  </li></ul></ul><ul><ul><li>stu...
C S  courses  - characteristics <ul><li>A  review of data mining techniques, including decision trees, rule based learning...
CS  courses -  examples <ul><li>Masters program in knowledge discovery and data mining in CALD Center (Center for Automate...
Non-CS  courses - characteristics <ul><li>Hard to get materials, different keywords (DSS, DM, DA) </li></ul><ul><li>Some c...
Non-CS  courses  examples <ul><li>Graduate Certificate Program in Data Warehousing and Business Intelligence at the Center...
On-line tutorials <ul><li>Da ta Mining: Theory and Practice, Yike Guo, Department of Computing, Imperial College, UK  ( ht...
IT professionals and executives  courses - characteristics <ul><li>Customized for target audience, case studies </li></ul>...
IT professionals  courses  -   examples <ul><li>SAS seminars  ( http://www. sas .com/service/ edu / bks /index.html ) </li...
General review of the current situation <ul><li>On-line materials, recent papers </li></ul><ul><li>Exercises, projects not...
WP4:  Development and organization of seminars, training and distance learning  I <ul><li>Participants:   IJS, GMD, BRI </...
WP4:  Development and organization of seminars, training and distance learning  II <ul><li>Repository of Educational Modul...
DALS and AED <ul><li>DALS seminar (international) </li></ul><ul><ul><li>Data analysis in life sciences, May 2000, organize...
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Izobrazevanje za data-mining

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Izobrazevanje za data-mining

  1. 1. Data mining education What’s cookin’ ? Maja Skrjanc
  2. 2. Introduction <ul><li>Sol-Eu-Net </li></ul><ul><li>WP 4 – Dissemination/Education </li></ul><ul><li>Analysis of machine learning and decision support courses </li></ul><ul><li>Overview about machine learning, data mining and decision support courses available on the web . </li></ul>
  3. 3. Resources <ul><li>Solomon European Network - Data Mining and Decision Support Courses ( http://www. cs . bris .ac. uk /~ ross / MLearn -Courses.html ) </li></ul><ul><li>MLnet ( http://www. mlnet .org/ cgi -bin/ mlnetois .pl/?File=courses.html ) </li></ul><ul><li>KDnuggets ( http://www. kdnuggets .com/courses/index.html ) </li></ul><ul><li>David W. Aha home page ( http://www. aic . nrl .navy.mil/~aha/research/ml/courses.html ) </li></ul><ul><li>Decision support system resources ( http:// dssresources .com/ ) </li></ul>
  4. 4. Classification <ul><li>Intended audience: </li></ul><ul><ul><li>computer science students, </li></ul></ul><ul><ul><li>students from other areas </li></ul></ul><ul><ul><li>managers (CEOs) and IT professionals (data analysts) </li></ul></ul>
  5. 5. C S courses - characteristics <ul><li>A review of data mining techniques, including decision trees, rule based learning, neural networks, inductive logic programming. </li></ul><ul><li>Most web sites contain links to assigned reading materials, some of them available online as textbooks. Various courses have also links to required readings, usually very recent papers, which cover primarily newer topics like text and web mining . </li></ul><ul><li>United States vs. Europe: </li></ul><ul><ul><li>novel, popular topics </li></ul></ul><ul><ul><li>Interdisciplinary area: statistics, data warehousing, complexity analysis, data visualization, privacy and security issues </li></ul></ul><ul><ul><li>Orientation towards real world problems </li></ul></ul>
  6. 6. CS courses - examples <ul><li>Masters program in knowledge discovery and data mining in CALD Center (Center for Automated Learning and Discovery) at Carnegie Mellon University ( http://www. cs . cmu . edu /~ cald /about.html ) </li></ul><ul><li>MSc in machine learning at University of Bristol ( http://www. cs . bris .ac. uk /Teaching/ MachineLearning / ) </li></ul><ul><li>Principles of Knowledge Discovery in Databases , Department of Computing Science, University of Alberta, ( http://www. cs . ualberta .ca/~ zaiane /courses/cmput690/index.html ) </li></ul><ul><li>Web data mining; Computer Science, Telecommunications, and Information Technology, DePaul University ( http:// maya . cs . depaul . edu /~ mobasher /classes/cs589/syllabus.html ) </li></ul><ul><li>Ullman’s course on Data mining at Stanford University : </li></ul><ul><ul><li>Exam ( http://www-db. stanford . edu /~ ullman /mining/final.html ) </li></ul></ul><ul><ul><li>Lecture notes ( http://hake. stanford . edu /~ ullman /mining/mining.html ) </li></ul></ul>
  7. 7. Non-CS courses - characteristics <ul><li>Hard to get materials, different keywords (DSS, DM, DA) </li></ul><ul><li>Some courses are the same as CS students courses </li></ul><ul><li>More domain driven </li></ul>
  8. 8. Non-CS courses examples <ul><li>Graduate Certificate Program in Data Warehousing and Business Intelligence at the Center for Information Management & Technology at Loyola University ( http:// gsb . luc . edu /centers/ cimt /certificate/dwcert1.html ) </li></ul><ul><li>Department of Medical Informatics , Health Sciences campus of Columbia University ( http://www.cpmc.columbia.edu/edu/degree/curriculum.html ) </li></ul><ul><li>The graduate school in computational Biology, Bioinformatics, and Biometry (ComBi) </li></ul><ul><li>( http://www. cs . helsinki . fi /research/ hallinto /TOIMINTARAPORTIT/1999/report99/node4.html#SECTION00041200000000000000 ) </li></ul>
  9. 9. On-line tutorials <ul><li>Da ta Mining: Theory and Practice, Yike Guo, Department of Computing, Imperial College, UK ( http://ruby.doc. ic .ac. uk /teaching/km99/ ) </li></ul><ul><li>B asic concepts of data mining , basic data mining techniques, data mining procedure in real world applications, future research trends , data warehouse and decision support. </li></ul><ul><li>Kurt Thearling, Development Wheelhouse Corporation Burlington, MA ( http://www3.shore.net/~ kht /text/ dmwhite / dmwhite . shtml ) </li></ul><ul><li>I ntroduction to data mining , presentation of data mining techniques , real world examples . </li></ul>
  10. 10. IT professionals and executives courses - characteristics <ul><li>Customized for target audience, case studies </li></ul><ul><li>Different approaches </li></ul><ul><li>Mostly held in the USA </li></ul><ul><li>Some of them are vendor independant </li></ul><ul><li>Usual duration 1-3 days </li></ul><ul><li>Themes: introductory DM seminars, tools, cross-selling, CRM, e-commerce, DSS: DW, basic statistics, Excel pivot tables,.. </li></ul>
  11. 11. IT professionals courses - examples <ul><li>SAS seminars ( http://www. sas .com/service/ edu / bks /index.html ) </li></ul><ul><li>SPSS Integral Solutions Limited, ( http://www. spss .com/training/descriptions. cfm ) </li></ul><ul><li>Vendor independant </li></ul><ul><li>DCI ( http://www. dci .com/events/datamin1/ ) </li></ul><ul><li>The Modeling Agency, The Woodlands, Texas ( http://www.the-modeling-agency.com/training/index.html ) </li></ul>
  12. 12. General review of the current situation <ul><li>On-line materials, recent papers </li></ul><ul><li>Exercises, projects not only theoretical, but also practical </li></ul><ul><li>Including DW, statistics </li></ul><ul><li>Combine DA techn. with special areas of application, like marketing (web-marketing, e-marketing), business intelligence , public policy, security issues.. </li></ul><ul><li>Raise awareness in business world at different levels </li></ul><ul><li>(managers, data analysi sts , IT professionals,..) </li></ul><ul><li>USA vs. Europe </li></ul>
  13. 13. WP4: Development and organization of seminars, training and distance learning I <ul><li>Participants: IJS, GMD, BRI </li></ul><ul><li>WP4 coordinator : Tanja Urbančič </li></ul><ul><li>Objectives : </li></ul><ul><ul><li>Increase awareness of DM and DS (potential clients) </li></ul></ul><ul><ul><li>Provide seminars and workshops (internal, for open market, customized for clients) </li></ul></ul><ul><ul><li>Provide a tool for supporting distance learning activities </li></ul></ul>
  14. 14. WP4: Development and organization of seminars, training and distance learning II <ul><li>Repository of Educational Modules (prepared by IJS) </li></ul><ul><ul><li>questionnaire for project partners (20 questions, el. form) </li></ul></ul><ul><ul><li>12 proposals from 5 institutions (88 hours of program) </li></ul></ul><ul><ul><li>6 can be costumized, 7 have web material </li></ul></ul><ul><ul><li>method-centred and application-centred, basic and advanced </li></ul></ul><ul><li>Info about available related courses (collected by BRI) </li></ul><ul><ul><li>67 courses, academic and commercial </li></ul></ul><ul><ul><li>20 European, 37 US, 10 other </li></ul></ul>
  15. 15. DALS and AED <ul><li>DALS seminar (international) </li></ul><ul><ul><li>Data analysis in life sciences, May 2000, organized by IJS </li></ul></ul><ul><ul><li>2 days (1day methods, 1 day cases) 2 days (1day methods, 1 day cases) </li></ul></ul><ul><ul><li>5 lecturers from Slovenia and UK </li></ul></ul><ul><ul><li>18 attendees from Slovenia and Germany </li></ul></ul><ul><li>AED seminar (international) </li></ul><ul><ul><li>Analysis of ecological data, December 2000, organized by IJS </li></ul></ul><ul><ul><li>4 days (5 for graduate students of PNG) </li></ul></ul><ul><ul><li>4 lecturers from Slovenia </li></ul></ul><ul><ul><li>27 participants from 9 countries (Slovenia, Belgium, Bosnia and Herzegovina, Croatia, France, Italy, The Netherlands, Poland, Slovak Republic) </li></ul></ul>
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